Twitter is leveraging AutoML to improve its customer experience by making Spaces recommendations that are relevant to individuals instead of ranking Spaces by order of popularity.
Rafa Carvalho, Senior Customer Engineer, Machine Learning, Google Cloud, and Diem Nguyen Senior Machine Learning Engineer/Data Scientist, Twitter wrote an article based on AutoML implementation on Twitter Spaces recommendations summarized the following key points.
Setting the stage for building new features with limited ML resources
Increasing customer engagement at speed with accurate ML predictions
Powering new use cases with hands-off ML frameworks